Postdoc Wearable information
See salary details
$32.5K - $39.8K
12% of jobs
$54.3K - $61.6K
0% of jobs
$61.6K - $68.9K
0% of jobs
$72.8K is the 25th percentile. Wages below this are outliers.
$68.9K - $76.1K
6% of jobs
The median wage is $81.2K / yr.
$76.1K - $83.4K
32% of jobs
$83.4K - $90.7K
9% of jobs
$94.2K is the 75th percentile. Wages above this are outliers.
$90.7K - $98K
12% of jobs
$105.2K - $112.5K
9% of jobs
How much do postdoc wearable jobs pay per year?
As of Aug 17, 2026, the average yearly pay for postdoc wearable in the United States is $79,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $97,500.00 per year, depending on experience, location, and employer.
A Postdoc Wearable is a postdoctoral researcher who specializes in the development, design, or application of wearable technologies. These scientists typically have a background in fields such as engineering, computer science, biomedical sciences, or material science, and they work on advancing wearable devices for health monitoring, fitness, augmented reality, or other innovative uses. Their work often involves conducting experiments, publishing research, and collaborating with academic or industry partners to push the boundaries of wearable tech.
Postdocs in wearable technology often collaborate closely with professionals from diverse fields such as materials science, electrical engineering, computer science, and healthcare. These collaborations may involve co-developing sensor prototypes, working with clinicians to design user studies, or partnering with data scientists to analyze physiological signals. The interdisciplinary nature of wearable research not only broadens your technical expertise but also fosters a dynamic work environment where innovative solutions are created by leveraging different perspectives. Effective communication and teamwork are essential to successfully navigate and contribute to these multi-faceted projects.
To thrive as a Postdoc in Wearable Technologies, you need a strong background in materials science, biomedical engineering, or electrical engineering, typically supported by a PhD in a relevant field. Experience with lab equipment, data analysis software (such as MATLAB or Python), and knowledge of wearable sensor fabrication and characterization are crucial. Strong problem-solving abilities, effective communication, and the ability to collaborate in multidisciplinary teams distinguish top candidates. These skills are essential to drive innovation, publish impactful research, and contribute to advancements in wearable technology.
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